Job Description
Key Responsibilities Design, build, and maintain scalable data pipelines using Palantir Foundry Develop and manage Foundry Ontologies, object-type modeling, and data relationships Implement robust data ingestion, transformation, and processing workflows Build high-performance data solutions using PySpark, Spark SQL, and Python Develop Foundry Workshops and Typescript-based components as needed Optimize pipeline performance (partitioning, joins, AQE, predicate pushdown) Ensure data quality, reliability, and governance across enterprise datasets Collaborate with cross-functional teams to support analytics, AI, and operational use cases Required Skills & Qualifications 7+ years of overall software/data engineering experience 2+ years of hands-on experience with Palantir Foundry or Gotham Strong expertise in: Palantir Data Processing, Ontology, Data Connections, and Pipelines PySpark / Apache Spark (RDDs, DataFrames, performance tuning) Python engineering (testing with pytest, packaging, t...
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